Intelligent Energy Management System for PV-Fuel Cell Powered BLDC-EVS with High-Gain Landsman Converter and RBFNN MPPT Control

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 4

Year of Publication : 2025

Authors : Killamsetti Vijetha, D. Srinivasa Rao

10.14445/23488379/IJEEE-V12I4P107

How to Cite?

Killamsetti Vijetha, D. Srinivasa Rao, "Intelligent Energy Management System for PV-Fuel Cell Powered BLDC-EVS with High-Gain Landsman Converter and RBFNN MPPT Control," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 4, pp. 102-120, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I4P107

Abstract:

Sustainable Transportation possesses various limitations; hence, integrating an Energy Management System (EMS) provides significant solutions for Electric Vehicle (EV). This innovative system incorporates a Photovoltaic (PV) system and Fuel Cell (FC) within the Hybrid Renewable Energy System (HRES) to provide enhanced power supply to the Brushless DC (BLDC) motor. The Radial Basis Function Neural Network (RBFNN) is integrated with a PV system for Maximum Power Point Tracking (MPPT) to attain improved energy management, assuring effective PV performance under varying environmental conditions. In addition, the Landsman Converter is utilized to attain efficient power regulation and conversion between PV and the EV DC bus. Furthermore, FC augments the system's performance by providing continuous power. Additionally, implementing a battery and a super-capacitor ensures improved energy storage and retrieval. Thus, the overall system contributes increased power stability during peak load demands, regenerative braking and fluctuations, enhancing the system performance in terms of efficiency and reliability. The Landsman converter attains a gain of 1:10 with an overall efficiency of 98%. Therefore, the innovation of intelligent EMS attains improved range, performance, and dependability of EVs, indicating a significant improvement in the adoption of renewable energy-powered transportation. The proposed system is implemented using MATLAB Simulink to showcase its effectiveness.

Keywords:

EMS, PV, FC, BLDC motor, RBFNN, MPPT, Landsman converter, Super-capacitor, Bi-directional buck-boost converter, Battery.

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